Sign inGet started
Paper · arXiv

Deep Minds and Shallow Probes

Neural representations are not unique objects. Even when two systems realize the same downstream computation, their hidden coordinates may differ by reparameterization. A probe family intended to reveal structure already present in a representation should therefore be stable under the relevant representation symmetries rather than be tied to a particular basis. We prove that, under standard nondegeneracy assumptions, behaviorally equivalent LLMs have hidden representations related by an invertible affine transformation. The resulting symmetry principle singles out a unique hierarchy of shallow coordinate-stable probes, with linear probes as its degree-1 member. We also show that a natural...

AuthorsSu Hyeong Lee, Risi Kondor
Primary categorycs.LG
Published12 May 2026
Last updated at source27 September 2026
cs.LGcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/a6de3803-27f0-43bb-b5a7-5d00595e1aec" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.